Parallel algorithm for calculating the learning processes of an artificial neural network
Hakimjon N. Zaynidinov, Oybek Mallayev · AIP conference proceedings · 2022
Nowadays, the digital processing of graphic data is undergoing unprecedented changes. Recently, the use of artificial intelligence has become more and more important in all areas. In this article, an algorithm for parallelizing the learning processes of a neural network has been developed. The algorithm identifies an area of a person’s face from an image and performs parallel labor-intensive processes associated with training a neural network. Parallelization of the processes of organizing neural nodes (layers) is carried out in the Python programming language.